A system inversion approach to robust set-point regulation

被引：0

作者：

Piazzi, A ^{[1
]}

Visioli, A ^{[1
]}

机构：

[1] Univ Parma, Dipartimento Ingn Informazione, I-43100 Parma, Italy

来源：

PROCEEDINGS OF THE 37TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4 | 1998年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we present a novel methodology, based on system inversion, for the set-point regulation of a system with structured uncertainties. The approach consists in choosing a polynomial as the output function and then designing both the controller and the reference input in order to minimize the worst-case settling-lime of the set-point regulation, with constraints on the absolute value of the control variable and on the maximum overshoot of the output. A comparison with a traditional methodology, based on the step-response, shows how the overall design is simplified and how the worst-case settling-time can be greatly reduced. Optimization has been performed by means of genetic algorithms.

引用

页码：3849 / 3854

页数：6

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